Do experts take into account previous performance and overcompensate current score to ensure previous top players are pushed out the top 10?
Data seems to suggest this, which is going to extreme lengths beyond “expert votes”.
And is more akin to changing the rules at the last minute to avoid living up to the promises put out by the platform.
If this is not the case then perhaps you can release more data to illuminate the oddities highlighted by the article?
Data seems to suggest this, which is going to extreme lengths beyond “expert votes”. And is more akin to changing the rules at the last minute to avoid living up to the promises put out by the platform.
If this is not the case then perhaps you can release more data to illuminate the oddities highlighted by the article?